LEADER 00402oam 2200157z- 450 001 9910714703003321 035 $a(CKB)2510000000009945 035 $a(EXLCZ)992510000000009945 100 $a20230509c1973uuuu -u- - 101 0 $aeng 200 10$aKenya 210 $cLaw Library, Library of Congress$aWashington, D.C 906 $aBOOK 912 $a9910714703003321 996 $aKenya$92664244 997 $aUNINA LEADER 03864nam 22005655 450 001 9911018746103321 005 20250806165533.0 010 $a9789819663965$b(electronic bk.) 010 $z9789819663958 024 7 $a10.1007/978-981-96-6396-5 035 $a(MiAaPQ)EBC32256153 035 $a(Au-PeEL)EBL32256153 035 $a(CKB)40138049300041 035 $a(DE-He213)978-981-96-6396-5 035 $a(EXLCZ)9940138049300041 100 $a20250806d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPetri Nets for Modeling Complex Discrete-Event Systems $eAn Approach Based on GPenSIM /$fby Reggie Davidrajuh 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (161 pages) 225 1 $aAsset Analytics, Performance and Safety Management,$x2522-5170 311 08$aPrint version: Davidrajuh, Reggie Petri Nets for Modeling Complex Discrete-Event Systems Singapore : Springer,c2025 9789819663958 327 $aPart I: Interfacing with GPenSIM -- Chapter 1: File Structure -- Chapter 2: Data Structures -- Chapter 3: Virtual Tokens and Virtual State -- Chapter 4: Log Files -- Chapter 5: Retention of Tokens in Places -- Part II: Interfacing with External Environment -- Chapter 6: Processor Files as Interfaces -- Chapter 7: Introduction to Supervisory Control -- Chapter 8: Supervisory Control with GPenSIM -- Chapter 9: GPenSIM Functions -- Chapter 10: Case Study. 330 $aThis book addresses the need for users to understand the internal workings of GPenSIM's functions, including their design and how they can be extended to model and analyze scenarios that were previously not possible. It presents previously unavailable internal details of these functions, demonstrating how systems that could not be modeled in the past can now be analyzed by extending the capabilities of the GPenSIM tool. This book concentrates on the internal mechanics of the GPenSIM tool, specifically aimed at benefiting tool developers and designers. GPenSIM is a tool for modeling discrete systems, widely used in many universities around the world. The author of this book developed GPenSIM, which has been utilized to model various practical scenarios. Users often seek to understand the inner workings of GPenSIM, such as its design and its integration with other tools. This book addresses these aspects and acts as a reference manual for GPenSIM, helping users quickly grasp the various ways to utilize its functions and how these can be tailored to specific cases. One of the notable features of GPenSIM is its tight integration with MATLAB. This not only facilitates easy deployment and operation but also allows users to leverage MATLAB's extensive libraries for practical applications across various fields. The details provided in this book, along with its structured format, will greatly assist both university students and practicing engineers. 410 0$aAsset Analytics, Performance and Safety Management,$x2522-5170 606 $aComputer science 606 $aSoftware engineering 606 $aComputer networks 606 $aTheory of Computation 606 $aSoftware Engineering 606 $aComputer Communication Networks 615 0$aComputer science. 615 0$aSoftware engineering. 615 0$aComputer networks. 615 14$aTheory of Computation. 615 24$aSoftware Engineering. 615 24$aComputer Communication Networks. 676 $a004.0151 700 $aDavidrajuh$b Reggie$0848062 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911018746103321 996 $aPetri Nets for Modeling Complex Discrete-Event Systems$94414832 997 $aUNINA LEADER 03333nam 22004333 450 001 9910989393003321 005 20250804225742.0 024 7 $a10.2867/788036 035 $a(CKB)38219852300041 035 $a(MiAaPQ)EBC32154386 035 $a(Au-PeEL)EBL32154386 035 $a(NjHacI)9938219852300041 035 $a(EXLCZ)9938219852300041 100 $a20250625d2024 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEIB Working Paper 2024/03 - Investment Decisions in a High-Inflation Environment 205 $a1st ed. 210 1$aLuxembourg :$cEuropean Investment Bank, Commission des Communautes europeennes,$d2024. 210 4$dİ2024. 215 $a1 online resource (52 pages) 311 08$a92-861-5802-5 327 $aInvestment decisions in a high-inflation environment -- 1. Introduction -- 2. Literature review -- 3. Data and trends -- 3.1. The EIBIS dataset -- 3.2. Operationalisation of inflation -- 3.3. Operationalisation of the cost pass-through rate -- 4. Methodology and results -- 3.4. Estimation strategy -- 3.5. Results -- 3.5.1. The direct effect of inflation on investment -- 3.5.2. The role of cost pass-through rates on investment -- 5. Conclusion -- 6. Appendix -- 7. References. 330 $aIn the 2021-2022 period, European firms have faced historically high inflation, with annual increases in consumer prices peaking at 11.5 % in October 2022.While the linkage between high inflation and investments is expected to be negative, through higher uncertainty, financial tightening, downward pressures on demand and worsening economy outlook, there are couple of drivers that can explain the positive investment dynamic during the recent high-inflation period.This paper shows evidence that investment decisions depend on firms' ability to pass higher costs onto consumers (the so-called pass-through rate). A high pass-through of costs lowers the immediate negative impact on profitability and internal sources are less affected.Moreover, the recent inflation spike has been strongly driven by the energy and other input prices that have pushed firms to invest in energy efficiency as a cost-saving strategy.As additional driver of the higher investment during the recent high inflation period, firms with a large reserve of cash accumulation or those with easier access to external financing may endure this high inflation environment relatively better. Liquid assets are more vulnerable to the negative impact of inflation and by investing it, its value might be protected from the devaluation amid accelerating inflation. European firms increased substantially their cash buffer in the period before the energy price shock, helped also by the massive COVID-19 liquidity support. The higher cash reserves might provide a buffer for the continuation of the investments or to engage in new investments of energy efficiency, as an adaptation strategy amid high energy costs. 606 $aInvestments 606 $aFinance 615 0$aInvestments. 615 0$aFinance. 676 $a332.6 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910989393003321 996 $aEIB Working Paper 2024$94400005 997 $aUNINA